提交 297556ce authored 作者: Frederic's avatar Frederic

Remove dead code

上级 5123ad72
......@@ -1196,28 +1196,6 @@ def cast(x, dtype):
##########################
@constructor
def old_shape(a):
"""
Return the shape tuple of a TensorType Variable.
It may be either symbolic or nonsymbolic.
If the shape of the expression is not known at graph-construction time,
then a symbolic lvector will be returned, corresponding to the actual
shape at graph-execution time.
"""
va = as_tensor_variable(a)
# print 'HERE', va, va.type
if None in va.type.shape:
# Some shape components are unknown at this time
return _shape(va)
else:
# all shape components are known at compile time, so we return
# a tuple directly. This tuple is like the numpy.ndarray.shape tuple.
return va.type.shape
class MaxAndArgmax(Op):
"""Calculate the max and argmax over a given axis or over all axes.
"""
......@@ -5473,8 +5451,6 @@ class Choose(Op):
"We currently didn't implemented that case. "
"To make it work, explicitly add dimensions "
"of size one for dimensions that will be broadcasted")
assert isinstance(node.inputs[1],
theano.typed_list.TypedListVariable)
bcast = [False] * out_ndim
for idx, (b1, b2) in enumerate(
......
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